RAG powered AI Search

By “peering into knowledge blocks and attachments,” AI Search can unify results from global search, service portal, or even Virtual Agent, delivering actionable answers that cut ticket volume. 

• Now Assist in Virtual Agent: Supercharges chatbots with GenAI skills. Now Assist in VA allows bots to carry on natural conversations or generate responses without complex NLU setup. For straightforward queries covered by a knowledge article or catalog item, the Now LLM “will dynamically generate the Virtual Agent chatbot conversation – zero development needed”. If specialized handling is needed, the LLM can handle topic discovery instead of traditional intent models, eliminating the need to manually define intents and utterances. For escalations, Now Assist can summarize the entire chat, case notes, and history in real time, giving agents rich context immediately. This combination means smarter self-service: end users get helpful answers, while agents inherit full conversation context. 

• Now Assist Platform Tools: Including the Now Assist Panel and Generative AI Controller. The Panel embeds a conversational AI assistant into agent workspaces, allowing employees to ask questions or request summaries in plain language. The Generative AI Controller (in Flow Designer) lets developers and power users plug in LLM-powered actions to any workflow. For example, an IT team can use it to run incident descriptions through an LLM and generate proposed solutions. These tools ensure that GenAI isn’t siloed – it’s configurable across ITSM, HRSD, CSM, and even custom apps. 

ServiceNow’s approach differs from “DIY” GenAI. Now Assist is a turnkey solution that knows ServiceNow context and state. For example, if an incident is resolved, Now Assist can automatically offer a “Generate Knowledge Article” skill that reads the ticket and drafts an official article from it. These intelligently framed GenAI skills make it easy to get value: instead of building new AI apps, CIOs can leverage Now Assist to inject AI into existing processes (Virtual Agent flows, search pages, agent workbenches) with minimal coding. 

Business Outcomes: Faster Service & Happier Users 

For CIOs, the proof is in measurable outcomes. Early adopters – including ServiceNow’s own IT and support teams (“Now on Now”) – have seen dramatic results. AI-powered self-service alone is driving big gains: ServiceNow reported a 14% jump in employee self-service and 10% increase in customer self-service usage once GenAI was enabled. In other words, more problems are being solved by AI before any ticket is opened. This translates to real savings: ServiceNow’s digital tech team credits a $5.5M annualized reduction in support costs thanks to fewer incidents. In one example, Now Assist for ITSM achieved a 54% deflection rate on a “Report an Issue” form, and AI-enhanced search yielded ~20% case avoidance. These stats highlight a key benefit: case deflection. When employees find answers via AI Search or VA, calls and tickets simply vanish, freeing IT to tackle higher-value projects. 

Agents and analysts also get measurable help. Now Assist can summarize incidents and conversations, slashing the time agents spend “getting up to speed.” ServiceNow’s support team saw 54% of AI-generated summaries were helpful, saving each agent roughly 6 hours per week. Overall, agents using Now Assist closed IT tickets in half the time they used to. In customer service, case summarization and KB automation are paying off too. ServiceNow reported a 15% productivity gain from AI summaries of support cases. Search summaries alone bumped their case deflection by 10%, which doubled when Now Assist suggestions were shown. (Each avoided case can save ~45 minutes of work, compounding over time.) 

In practical terms, GenAI can reduce MTTR (mean time to resolve), increase deflection rates, and generate fresh knowledge content continuously. For example, by feeding LLM outputs into the knowledge base, enterprises ensure support materials grow automatically with usage. ServiceNow notes that “quickly generating knowledge content from incidents feeds the knowledge base to help other agents and fuels self-service,” further boosting efficiency. Over time, these gains add up: ServiceNow projects millions in annual cost savings through GenAI efficiency (one blog cites a $5.3M annualized savings from support improvement, matching the totals seen in internal teams). 

Use Cases by Function: ITSM, CSM & HRSD 

IT Service Management (ITSM) 

• Incident & Request Management: Now Assist enhances ITSM workflows by interpreting user intent and summarizing tickets. AI Search helps end-users find fixes in the knowledge base without logging a ticket (“self-service search summarization”), and Virtual Agent can resolve common issues via conversation. Agents benefit from LLM-generated incident summaries and draft resolutions, reducing MTTR. For IT, this means the help desk handles fewer routine requests, and critical issues get faster response. 

• Knowledge Management: Every resolved ticket can become a knowledge article via Now Assist’s Generate KB skill. This closes knowledge gaps by automatically creating doc drafts that agents only review, not write from scratch. Over time, the KB grows faster without adding headcount. 

• Custom Apps & DevOps: Now Assist for Creator can auto-generate workflows, catalog forms, and even code snippets, speeding up custom development. While CIOs focus on platform-level outcomes, it’s worth noting that GenAI also accelerates internal app delivery and testing within ServiceNow. 

Customer Service Management (CSM) 

• Smart Self-Service: Virtual Agent bots enriched by Now Assist empower customers to answer their own questions. Generative chat allows on-the-fly answers even for unexpected queries. According to SN’s Forrester press, “Now Assist for CSM leverages generative AI to power natural, conversational Q&A for smart self‑service,” meaning customers can get answers like chatting with an agent. 

• Agent Productivity: When cases do come in, Now Assist aids agents with case summarization and resolution note generation. ServiceNow reports that 54% of AI-generated case summaries were helpful. This not only saved agents “12–17 minutes per case” (80–110 minutes per day) but also improved agent satisfaction. Less time hunting through previous interactions means more focus on complex issues. 

• Case Deflection: Providing suggested solutions in the customer portal led ServiceNow to double its case deflection rate. With AI-generated recommended articles or FAQs, many inquiries never become tickets. 

• Knowledge Base Acceleration: Now Assist can create draft KB articles from resolved cases. In fact, agents saved “30 minutes on each KB article generated”, meaning the repository grows with far less effort. 

Overall, Now Assist in CSM means a faster, more autonomous customer experience and a lighter load on the support team. ServiceNow’s internal program forecasts $5.3M in annual savings just from the GenAI enhancements described above. 

HR Service Delivery (HRSD) 

• Employee Self-Service: Human Resources departments face high volumes of FAQ and routine case work. Now Assist in HRSD can power an AI Virtual Agent for employees, offering instant Q&A on HR policies. It “provides personalized experiences to help resolve inquiries faster” by answering knowledge article questions directly. 

• Case Summaries: When employees submit HR cases (benefits, onboarding, leave requests), Now Assist can summarize the case details and any follow-up needed. This helps HR agents quickly understand case history. 

• Conversational Workflows: Multi-turn Virtual Agent flows enable employees to go deeper, such as changing personal info or applying for leave through chat. The result is reduced phone/email volume and better employee experience. As Aelum Consulting notes, GenAI “augments employee experiences faster” across the enterprise. 

Though early, HR teams using GenAI report smoother inquiry resolution and happier employees. CIOs can therefore expect reduced HR ticket backlog and time savings similar to IT/CSM scenarios (even if exact metrics aren’t public yet). 

Aligning with CIO Priorities 

ServiceNow’s GenAI roadmap addresses core CIO concerns: 

• Agility & Innovation: Now Assist is delivered as part of the service, with guided setup wizards and low-code tooling. CIOs don’t have to architect a GenAI solution from scratch – ServiceNow provides the infrastructure. This speeds rollout. For example, no deep AI expertise is needed to start using Now Assist, making IT more agile. 

• Cost Efficiency: As shown above, even modest deflection and automation can cut significant costs (up to millions annually for large enterprises). By enabling more self-service and less rework, GenAI helps flatten headcount growth. And because ServiceNow uses a proprietary LLM (not a paid per-token API), licensing costs are predictable compared to calling external AI. 

• Improved Experience: Employees and customers get faster, smarter help. Survey data suggests over 50% of users felt Now Assist answers were positive. Happy users mean higher satisfaction scores and better adoption of ServiceNow itself – critical for demonstrating ROI on the platform. 

• Data Governance & Security: ServiceNow’s GenAI is “native” to the platform – customer data never leaves the ServiceNow cloud unless explicitly integrated. This can ease compliance fears compared to free-form ChatGPT-style tools. CIOs can rely on ServiceNow’s enterprise-grade security and governance for AI features. 

• Strategic Vision: Finally, integrating GenAI aligns IT with broader digital transformation goals. ServiceNow’s positioning as an “AI-powered platform” – validated by analysts – shows a long-term bet on AI. Gartner and Forrester have both recently recognized ServiceNow (Now Assist for ITSM and CSM) as leaders in AI-enabled service tools. Forrester’s Customer Service Solutions Wave notes ServiceNow’s “unique vision” for AI-driven workflows. In practice, investing in Now Assist means building a future-ready service organization. 

Comparing to Traditional Approaches 

Traditional service management tools rely on manual searches, static knowledge, and rule-based chatbots. In that world, creating a new chatbot intent or adding a new KB article is labor-intensive. By contrast, ServiceNow’s GenAI is context-aware and automated. For example: 

• A legacy chatbot requires defining intents/utterances; Now Assist can infer topics dynamically from conversation. 

• Manual note-taking becomes automated: human-written case summaries take minutes or hours; Now Assist generates drafts in seconds. 

• Finding information no longer means sifting through search results; the AI Search just delivers a concise answer. 

Against competitors, ServiceNow’s advantage is that GenAI is built into the workflow platform itself. Other vendors may offer AI assistance via add-ons (or as part of cloud AI suites), but ServiceNow ties it to the same data model and processes IT already uses. The result is lower friction to adoption. Moreover, because Now Assist is trained on ServiceNow’s domain (and customer’s own data), it tends to produce higher-quality, relevant answers than a generic consumer chatbot. CIOs avoid the “hallucination” risk of open AI models by leveraging ServiceNow’s RAG architecture – the LLM is always grounded in actual knowledge base and record content. 

Best Practices & Getting Started 

To get value quickly, CIOs should start small and iterate: 

1. Data Readiness: Ensure knowledge articles and workflows are up-to-date. Clean, well-structured data is the fuel for Now Assist. 
2. Pilot a Use Case: For example, enable Now Assist for a key VA topic or the ITSM incident form. Measure deflection and resolution time improvements. 
3. Governance: Define guardrails – for example, train staff on Responsible AI use (ServiceNow provides an AI Acceptable Use Policy). Monitor usage patterns via Now Assist Analytics dashboards to ensure quality. 
4. Expand Scope: Once the pilot shows results, roll out across other domains (CSM, HRSD, etc.). Use the Now Assist admin console to tweak skills and gather feedback. 
5. Partner for Success: Working with an experienced ServiceNow partner can accelerate success. Kumori Technologies, for example, offers consultation, implementation, optimization, and support services for ServiceNow. Our consultants can help define a GenAI roadmap aligned with your strategy. Kumori’s implementation team ensures smooth deployment of Now Assist, AI Search, and Virtual Agents into your instances. Ongoing support and optimization services from Kumori keep the platform tuned and users enabled. 

CIOs should also leverage ServiceNow’s resources: the platform’s Generative AI pages and blogs, plus research like the Forrester and Gartner reports. Reviewing customer case studies (for example, ServiceNow’s “Now on Now” stories) can provide proof points. 

Get Started Today: To explore how GenAI can transform your ServiceNow, contact Kumori for a ServiceNow consultation. Our experts can assess your environment, identify high-impact Now Assist use cases, and guide you through deployment. Don’t let legacy workflows hold you back – enable Now Assist, AI Search, and Virtual Agent to supercharge productivity, slash costs, and delight users.